Hypertension

Steatosis liver index: A validated machine learning model using clinical data distinguishes steatotic liver disease phenotypes.

INTRODUCTION AND OBJECTIVES: Steatotic liver disease (SLD) is a leading cause of liver disease worldwide. Itsstratified into metabolic dysfunction-associated steatotic liver disease (MASLD), metabolic dysfunction and alcohol-associated liver disease (MetALD), and alcohol-associated liver disease (ALD) based on self-reported alcohol use remains a challenge. We developed the Steatosis Liver Index (S...

Heterogeneous effects of preoperative beta blockers on 30-day mortality after coronary artery bypass surgery.

BACKGROUND: The role of preoperative β-blocker therapy in patients with ventricular dysfunction undergoing coronary artery bypass grafting (CABG) remains unclear. OBJECTIVE: We aim to evaluate heterogeneous treatment effects of preoperative β-blocker therapy in patients with ventricular dysfunction undergoing CABG and to identify subgroups that may derive greater benefit from preoperative β-blocke...

PVCuRe: a machine-learning based tool to predict left ventricular systolic function recovery in patients undergoing ablation for premature ventricular contraction.

BACKGROUND: Ablation of frequent premature ventricular complexes (PVCs) can improve left ventricular ejection fraction (LVEF) in patients with systoli...

Long-PVSUNet: A Longitudinal Deep Learning Framework for Count-Oriented Perivascular Space Segmentation in Brain MRI.

Enlarged perivascular spaces (ePVS) are small, sparse MRI-visible markers of cerebral small vessel disease and brain ageing. Their size, low contrast,...

Predicting Incomplete Occlusion Following Endovascular Treatment of Intracranial Aneurysms: Development and Validation of a Multidimensional Machine Learning Model.

RATIONALE AND OBJECTIVES: Incomplete occlusion after endovascular treatment (EVT) of intracranial aneurysms (IAs) increases the risks of re-rupture an...

Unsupervised machine learning with Cluster Analysis in patients with rheumatoid arthritis: insights in CV risk phenotypes from a multicentre Italian cohort.

Rheumatoid arthritis (RA) patients face increased cardiovascular (CV) risk, yet existing 10-year estimation tools often underperform. This study evalu...

Integrated multi-omics analyses identify an RAS-SLC11A2-associated molecular framework linking iron metabolism with PCOS-related cardiometabolic risk.

INTRODUCTION: PCOS is a common endocrine disorder with elevated cardiometabolic risk, yet the role of the renin-angiotensin system (RAS)-iron metaboli...

Prognostic Value of Artificial Intelligence ECG-Derived Diastolic Function in Surgical Aortic Valve Replacement.

BACKGROUND: Diastolic dysfunction is common in patients with aortic stenosis and may influence outcomes following surgical aortic valve replacement. W...

Personalized evaluation of NT-proBNP and clinical characteristics in suspected heart failure: the PRECISE-HF study.

BACKGROUND AND AIMS: N-terminal pro-B-type natriuretic peptide (NT-proBNP) is recommended to guide echocardiography referral in community-based patien...

Risks of Major Adverse Kidney Events in Non-Hispanic Black Patients with Diabetes or Hypertension: A real-world cohort study.

INTRODUCTION: Chronic kidney disease (CKD) disproportionately burdens non-Hispanic Black (NHB) patients who experience a three- to four-fold higher ri...

Performance and label efficiency of traditional deep-learning models and a retina-specific foundation model for ocular and systemic disease detection: a retrospective comparative study.

BACKGROUND: RETFound, a self-supervised retina-specific foundation model, has shown potential in downstream tasks, but its performance in comparison w...

Identification of Vital Genes Common to Dilated and Hypertrophic Cardiomyopathy Using Machine Learning and Bioinformatics.

BACKGROUND: Heart failure (HF) is a complex clinical syndrome and a leading cause of hospitalization and mortality worldwide, with significantly incre...

Identification of Aging and Mitochondria-Related Hub Genes in Dilated Cardiomyopathy.

Dilated cardiomyopathy (DCM) is characterized by left ventricular dilation and systolic dysfunction and is associated with mitochondrial dysfunction a...

Bioinformatics and Machine-Learning Identification of Pulmonary Hypertension Biomarkers and Candidate Therapeutic Compounds.

This study aimed to identify pulmonary hypertension (PH)-associated molecular biomarkers and candidate small-molecule compounds using public transcrip...

Left ventricular hypertrophy as a predictor of adverse maternal and neonatal outcomes in chronic hypertension in pregnancy: a multicenter study.

OBJECTIVE: The impact of chronic hypertension (CHTN) combined with left ventricular hypertrophy (LVH) on adverse maternal and fetal pregnancy outcomes...

Glycolysis, Inflammation, and Mitochondrial Dysfunction: New Perspectives on the Pathogenesis of Hypertension.

BACKGROUND: Recent studies show enhanced glycolysis is linked to chronic diseases, but its relationship with hypertension is unclear. This study explo...

Perception and accuracy of an AI-based contactless wellness screening system in dental setting; a cross-sectional study.

This study evaluates the reliability and participants' responses to a contactless artificial intelligence (AI) device powered by Remote Photoplethysmo...

MACHINE LEARNING VERSUS PENALISED LOGISTIC REGRESSION FOR PREDICTING IN-HOSPITAL MORTALITY IN RUPTURED ABDOMINAL AORTIC ANEURYSM: A COMPARISON USING A UNIFORM VALIDATION FRAMEWORK.

BACKGROUND: Ruptured abdominal aortic aneurysm (rAAA) remains associated with substantial in-hospital mortality. Although machine-learning methods can...

Left Atrial Stiffness Index for Refining Diastolic Stress Test Selection in Suspected Heart Failure With Preserved Ejection Fraction.

INTRODUCTION: Diagnosing heart failure with preserved ejection fraction (HFpEF) remains challenging in patients with exertional dyspnea and inconclusi...

AI-ECG Detection of Structural Heart Disease in the Community Setting: Transportability and Spectrum Effects in the PREVUE-VALVE Study.

BACKGROUND: Artificial intelligence (AI) diagnostic models are typically developed in hospital-based populations enriched for disease prevalence and s...